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Lead AI Architect: Shaping the Future of 2026

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead our initiatives for the 2026 roadmap. In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems, defining the intelligence layer of our next-generation platform. If you are passionate about the future of AI and want to lead a team building the solutions of tomorrow, we want to meet you.


Why Join Us?

  • Work on cutting-edge projects that define the AI landscape of 2026.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Opportunity to mentor top-tier engineering talent.

Responsibilities

  • Architect and deploy large-scale machine learning models optimized for real-time inference.
  • Define the technical roadmap for AI capabilities leading up to the 2026 release cycle.
  • Collaborate with cross-functional teams (Data Science, Product, Engineering) to integrate AI into core workflows.
  • Ensure system scalability, security, and ethical AI compliance.
  • Conduct code reviews and drive technical excellence within the engineering team.
  • Research emerging trends in Generative AI and Deep Learning to apply them to our product.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field (or equivalent experience).
  • Minimum of 7+ years of experience in software engineering with a focus on AI/ML.
  • Proficiency in Python, TensorFlow, PyTorch, and modern cloud infrastructure (AWS/GCP/Azure).
  • Deep understanding of MLOps, CI/CD pipelines, and distributed systems.
  • Proven track record of leading technical teams and delivering complex projects on time.
  • Strong communication skills with the ability to translate technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning MLOps Cloud Architecture TensorFlow PyTorch AWS System Design Leadership

Ready to Take This Challenge?

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